Daeho Kim

11 papers and 221 indexed citations i.

About

Daeho Kim is a scholar working on Artificial Intelligence, Radiological and Ultrasound Technology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daeho Kim has authored 11 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Radiological and Ultrasound Technology and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daeho Kim’s work include Occupational Health and Safety Research (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Daeho Kim is often cited by papers focused on Occupational Health and Safety Research (4 papers), 3D Surveying and Cultural Heritage (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Daeho Kim collaborates with scholars based in South Korea, United States and Canada. Daeho Kim's co-authors include Ju-Hong Lee, Sun Park, Jaeil Kim, Sang Hyun Lee, Vineet R. Kamat, Jong Wook Kim, Beakcheol Jang, Jinah Kim, Seungjun Ahn and Dongkyun Kim and has published in prestigious journals such as IEEE Access, Neurocomputing and Neural Networks.

In The Last Decade

Co-authorship network of co-authors of Daeho Kim i

Fields of papers citing papers by Daeho Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daeho Kim. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daeho Kim. The network helps show where Daeho Kim may publish in the future.

Countries citing papers authored by Daeho Kim

Since Specialization
Citations

This map shows the geographic impact of Daeho Kim's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daeho Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daeho Kim more than expected).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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2025